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A comprehensive data dictionary detailing the tables, fields, and definitions related to the FSFN DataMart, which processes child protective services data.
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How to fill out FSFN_DataMart Data Dictionary

01
Access the FSFN_DataMart Data Dictionary document.
02
Review the purpose and structure of the data dictionary.
03
Identify the sections relevant to the data elements you need to fill out.
04
For each data element, input the required information such as definition, source, and data type.
05
Ensure to follow the format specifications outlined in the document.
06
Validate the accuracy of the data entered by cross-referencing with source documents.
07
Save and document the changes made for future reference.

Who needs FSFN_DataMart Data Dictionary?

01
Data analysts who require an understanding of the data stored in FSFN.
02
IT staff responsible for maintaining the FSFN system.
03
State and local agency personnel involved in data reporting and analysis.
04
Researchers conducting studies that utilize FSFN data.
05
Auditors reviewing compliance with data management standards.
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A schema refers to the structure and organization of the database, while a data dictionary provides additional details about each element in the database. The schema describes the tables and their relationships, while the data dictionary explains the meaning of each item and how users should utilize it.
The Data Dictionary page is a page that shows the assets of asset type Data Asset and its children asset types in Collibra Platform. You can view the assets in table display mode or tile display mode. On this page, you can perform the following actions: Create a view.
What Is a Data Dictionary? ing to the NNLM Data Glossary, “a data dictionary is a document that outlines the structure, content, and meaning of a given variable.” More generally speaking, a data dictionary describes each variable included in a dataset.
Data dictionaries contain technical information about data assets, such as data sources, fields and data types. They are typically used by technical audiences such as data engineers and data analysts to understand the data. Data catalogs contain much broader and deeper data intelligence than data dictionaries do.
A data dictionary can also facilitate the database design, development, and maintenance by reducing errors and redundancies. A metadata repository can enhance the data visibility, accessibility, and integration by providing a comprehensive and consistent view of the data assets.
Open a data dictionary using File > Open Data Dictionary. In the Model Hierarchy pane, expand the dictionary node and select Design Data > Export to File. Then save the design data to a MAT file or MATLAB script.

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The FSFN_DataMart Data Dictionary is a comprehensive guide that defines the data elements, structures, and relationships used within the FSFN_DataMart system, which is used for managing foster care and related services.
Entities involved in managing or utilizing data from the FSFN_DataMart, including Child Welfare agencies and their staff, are required to file the FSFN_DataMart Data Dictionary.
Filling out the FSFN_DataMart Data Dictionary involves gathering relevant data, understanding the definitions provided in the dictionary, and accurately inputting the information in accordance with the specified formats and guidelines.
The purpose of the FSFN_DataMart Data Dictionary is to provide a standardized reference for data reporting and analysis, ensuring data consistency, accuracy, and comprehensibility among users.
The FSFN_DataMart Data Dictionary must report information regarding data fields, data types, definitions, and relationships between different data elements relevant to child welfare services.
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